Method for loading data and electronic apparatus therefor

ABSTRACT

The present disclosure relates to a method of loading data. The method includes checking a topic corresponding to a search word among a plurality of topics in response to acquiring a search word for a topic of a distributed messaging system from a user, checking a data format including one or more fields of a message loaded into a topic, and then loading data generated based on the checked data format and the read message into a data lake.

BACKGROUND Technical Field

The present disclosure relates to a method of loading data of adistributed messaging system and an electronic apparatus therefor.

Description of the Related Art

Due to recent developments in IT technology, large amounts of data arebeing produced and consumed as the use of traffic, the Internet, and thelike in companies increases. Accordingly, there is a growing demand fora messaging system capable of processing exponentially increasingtraffic and event logs and a data management system capable of loadingand managing a large amount of data.

Related Art: Korean Patent Laid-Open Publication No. 10-2019-0011353

Meanwhile, Apache KAFKA is a large-capacity real-time log processingsystem, and is a distributed messaging system that uses apublish/subscribe paradigm. Apache KAFKA is a system developed byLinkedIn, was released as open source in 2011, and includes aspecialized architecture for large-capacity real-time log processing.

A data lake is a data storage space in which all types of dataregardless of data type (for example, structured/unstructured data type)and models can be stored. An existing data warehouse can store onlystructured data, but a data lake can store all data including theunstructured data, and as a result, can efficiently process corporatedata that is being mass-produced in various forms.

Therefore, in order to efficiently manage and process corporate data, amethod of using a distributed messaging system and a data lake isemerging, and specifically, a method of efficiently loading datagenerated based on a message of a distributed messaging system into adata lake is required.

SUMMARY Technical Goals

Embodiments disclosed herein are directed to providing an electronicapparatus and an operation method thereof. The technical goals to beachieved by the embodiments of the present disclosure are not limited tothe technical goals described above, and other technical goals may beinferred from the following example embodiments.

Technical Solutions

According to a first example embodiment, there is provided a method ofloading data of a distributed messaging system by an electronicapparatus, the method including checking a topic corresponding to asearch word among a plurality of topics in response to acquiring thesearch word for a topic of a distributed messaging system from a user,displaying a list of data fields of a message loaded into the checkedtopic, checking a data loading format including one or more selecteddata fields based on selection information for the one or more datafields acquired from the user among data fields included in the list ofdata fields, reading the message loaded into the checked topic, andloading data for the read message into a data lake based on the checkeddata loading format.

According to a second example embodiment, there is provided anelectronic apparatus for loading data of a distributed messaging system,the electronic apparatus including a memory which stores at least oneinstruction, and a processor which executes the at least one instructionto check a topic corresponding to a search word among a plurality oftopics in response to acquiring the search word for a topic of adistributed messaging system from a user, display a list of data fieldsof a message loaded into the checked topic, check a data loading formatincluding one or more selected data fields based on selectioninformation for the one or more data fields acquired from the user amongdata fields included in the list of data fields, read the message loadedinto the checked topic, and load data for the read message into a datalake based on the checked data loading format.

According to a third example embodiment, there is provided acomputer-readable recording medium including a non-transitory recordingmedium on which a program allowing a computer to execute theabove-described method is recorded.

Detailed content of other embodiments is described in a detaileddescription and illustrated in the accompanying drawings.

Effects

According to the present disclosure, an electronic apparatus allows auser to select a required data field from a message of a distributedmessaging system to generate data according to a predetermined readcycle and loads the generated data into a data lake, and thus the usercan easily process the data and load the processed data into the datalake. In addition, the loaded data can be provided in various forms, andas a result, the time for data analysis can be saved.

Effects of the present disclosure are not limited to the above-describedeffects, and other effects that are not described will be clearlyunderstood by those skilled in the art from the scope of the claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a diagram illustrating a KAFKA system according to an exampleembodiment.

FIG. 2 is a diagram for describing a user interface provided by anelectronic apparatus according to an example embodiment.

FIG. 3 is a diagram for describing recommending a topic according to anexample embodiment.

FIG. 4 is a diagram for describing displaying a recent search historyaccording to an example embodiment.

FIG. 5 is a diagram for describing displaying a history for a recentlyselected data field according to an example embodiment.

FIG. 6 is a diagram for describing providing information on or regardingdata loaded into a data lake according to a first example embodiment.

FIG. 7 is a diagram for describing providing information on or regardingdata loaded into a data lake according to a second example embodiment.

FIG. 8 is a diagram for describing providing information on or regardingdata loaded into a data lake according to a third example embodiment.

FIG. 9 is a flowchart for describing a method of loading data of adistributed messaging system according to an example embodiment.

FIG. 10 is a flowchart for describing a method of loading data of adistributed messaging system according to another example embodiment.

FIG. 11 is a block diagram of an electronic apparatus according to anexample embodiment.

DETAILED DESCRIPTION

Terms that are currently widely used are selected as terms used inembodiments in consideration of functions in the present disclosure, butmay be changed depending on the intention of those skilled in the art ora judicial precedent, the emergence of a new technique, and the like. Inaddition, in specific cases, there may be terms arbitrarily chosen bythe applicant. In this case, the meaning of such a term will bedescribed in detail in a corresponding description portion. Therefore,the terms used in the present disclosure should be defined on the basisof the meanings of the terms and the content throughout the presentdisclosure rather than the simple names of the terms.

Throughout the specification, unless otherwise specified, “including”any component means that other components may be further included ratherthan excluding other components. In addition, the terms “unit,”“module,” and the like, described in the specification refer to aprocessing unit of at least one function or operation and may beimplemented by hardware or software or a combination of hardware andsoftware.

The expression “at least one of a, b, and c” described throughout thespecification may include “a alone,” “b alone,” “c alone,” “a and b,” “aand c,” “b and c,” or “all of a, b, and c.”

A “terminal” described below may be implemented as a computer or aportable terminal that may access a server or other terminals through anetwork. Here, computers may include, for example, a notebook, adesktop, a laptop, and the like, which are equipped with a web browser,and portable terminals are wireless communication devices that ensureportability and mobility, and may include, for example, InternationalMobile Telecommunications (IMT), code division multiple access (CDMA),W-code division multiple access (W-CDMA), and Long Term Evolution (LTE)terminals, and all kinds of handheld-based wireless communicationdevices, such as a smartphone and a tablet PC.

In the following description, example embodiments of the presentdisclosure will be described in detail with reference to the drawings sothat those skilled in the art can easily carry out the presentdisclosure. However, the present disclosure may be implemented invarious different forms but it is not limited to the exemplaryembodiments described herein.

Hereinafter, example embodiments of the present disclosure will bedescribed with reference to the drawings.

FIG. 1 illustrates a KAFKA system according to an example embodiment.

Referring to FIG. 1, a KAFKA system 100 operates based on apublish-subscribe model and may include a message publisher 110, abroker 120, and a subscriber 130. Meanwhile, in an embodiment, a methodof operating an electronic apparatus is described based on the KAFKAsystem 100, but the disclosed method may be commonly applied in adistributed messaging system based on a publish-subscribe model.

When an event occurs, the message publisher 110 may publish a KAFKAmessage for the event and transmit the published KAFKA message to thebroker 120. In this case, the KAFKA message may include one or more datafield values, and two or more KAFKA messages may include different datafield values. For example, when an event such as “customer's item order”occurs, a first message publisher 111 may publish a KAFKA message forthe “customer's item order.” In this case, the published KAFKA messagemay include data field values for an ID of an order customer, an orderitem, an order date, and delivery destination information. Here, thedata field of the KAFKA message may be determined through negotiationbetween the message publisher 110 and the subscriber 130 who subscribesto a corresponding topic.

Meanwhile, the broker 120 may classify KAFKA messages published by themessage publisher 110 by topic, and load and manage the classified KAFKAmessages. The KAFKA message may correspond to one topic. Accordingly,the KAFKA message may be loaded into the corresponding topic. Forexample, the first KAFKA message of FIG. 1 may be a messagecorresponding to a first topic, and the second KAFKA message may be amessage corresponding to a second topic. In this case, the first KAFKAmessage may be published by the first message publisher 111 and then maybe loaded into the first topic of the broker 120, and the second KAFKAmessage may be published by a third message publisher 113 and then maybe loaded into the second topic of the broker 120.

Thereafter, the subscriber 130 who subscribes to the topic may read theKAFKA message from the topic of the broker 120 and may process the readKAFKA message. In this case, there may be multiple subscribers 130 whosubscribe to one topic.

Meanwhile, the message publisher 110 may notify of the publication factafter publishing the KAFKA message. In this case, the subscriber 130 maydetermine whether to subscribe to a corresponding topic after checkingthe content of the notification. Thereafter, when the KAFKA message ispublished and loaded into the corresponding topic, subscribers may readthe KAFKA message loaded into the corresponding topic.

The KAFKA system 100 is designed so that the broker 120 is configured asa cluster to operate for scale-out and high availability. In this case,even when there is only one broker 120, the broker 120 may operate as acluster. The KAFKA system 100 has the above-described advantages, isuseful for transmitting and receiving data between platforms, and iscurrently being used by a large number of companies.

Since the KAFKA system 100 publishes a volatile KAFKA message wheneveran event occurs, a method of managing a large amount of data included inthe published KAFKA message is required.

Meanwhile, when a large amount of data is managed through a database, aquery process needs to be performed whenever data is required, and thusa problem of increasing computational complexity may occur. Therefore,in a data management system based on a data lake capable of storing alltypes of data regardless of data types, a method of efficiently loadingdata that may be obtained by processing messages of a distributedmessaging system such as the KAFKA system is required.

Meanwhile, in the case of the KAFKA system in the example embodiment,since data may be consumed by a subscriber who subscribes to acorresponding topic, it may be difficult for a user who is not asubscriber to access the data. However, in the case of the data lake, itis relatively easy for users to access data, and as a result, the accessconvenience of data loaded into the data lake in the KAFKA systemaccording to the example embodiment of the present specification isimproved.

FIG. 2 is a diagram for describing a user interface provided by anelectronic apparatus according to an example embodiment.

An electronic apparatus for loading data of a distributed messagingsystem according to the example embodiment of the present disclosure mayprovide a user interface 200 illustrated in FIG. 2 to a user terminal.Here, a user terminal may be defined as a terminal of a subscriber whowants to subscribe to a specific topic of the KAFKA system 100 and maybe a terminal of a user who wants to process data of a distributedmessaging system and load the processed data into a data lake.

When users input a search word for a topic, the user interface 200 maycheck (or search) a topic corresponding to the search word, select somedata fields of a message loaded into the checked topic, and check a dataloading format. Thereafter, the KAFKA message loaded into the identifiedtopic may be read, processed according to the data loading format, andthen loaded into the data lake. In an embodiment, the data loadingformat may include information associated with selecting field values tobe loaded into the data lake among data field values included in theKAFKA message. For example, the electronic apparatus may load the fieldvalues corresponding to some fields selected according to the dataloading format among the KAFKA messages into the data lake.

Referring to FIG. 2, the user interface 200 may provide an area 210 inwhich an input for a search word for a topic may be received from auser. When the user inputs the search word and then presses a searchbutton, the user interface 200 may check whether the topic correspondingto the search word is there. In addition, the user interface 200 maydisplay a check result on a screen.

In addition, the user interface 200 may display a list 220 of datafields of the KAFKA message loaded into the checked topic. In addition,when the selection information is received from the user for some of thedata fields included in the list 220, a list 230 of the selected datafields may be displayed.

Meanwhile, when a user presses a save button, the data loading formatincluding the selected data field may be stored. When a signal for theuser's read cycle (or data cycle) is received, the KAFKA messages loadedinto the topic in the future may be automatically read according to thereceived read cycle, and data including the data field selectedaccording to the stored data loading format may be generated. The datathus generated may be loaded into the data lake.

Meanwhile, it is obvious to those skilled in the art that the data fieldand the read cycle illustrated in FIG. 2 are only exemplary and may bechanged according to the implementation content of the system.

FIG. 3 is a diagram for describing an embodiment of recommending atopic.

According to the example embodiment, when there is no topiccorresponding to the search word input by the user, a user interface 300may display a message notifying of this fact and may display some of thetopics existing in the broker 120 as recommended topics. Specifically,when there is a topic having a similarity of 80% or more to a searchword input by a user, the method of the present disclosure may includedisplaying the corresponding topic as a checked (or retrieved) topic.Also, when the similarity is less than a predetermined threshold, it maybe determined that the topic corresponding to the search word does notexist.

Referring to FIG. 3, a user may select one or more topics from a list ofrecommended topics, and the user interface 200 may display the list ofdata fields of the KAFKA message loaded into the selected topic.

Meanwhile, it has been described that the similarity between the searchword and the corresponding topic is 80% or more, but the similarityvalue is not limited thereto.

FIG. 4 is a diagram for describing an embodiment of displaying a recentsearch history.

According to the example embodiment, a user interface 400 may provideinformation associated with a topic recently checked (or retrieved) by auser within a predetermined time.

Referring to FIG. 4, a user may set a period of inquiry for a searchhistory. For example, the user may select a period of inquiry for thesearch history as one of 1 month, 1 week, and 1 day and may directlyinput the inquiry period through a period setting menu. Meanwhile, it isalso possible to provide the search history within a preset inquiryperiod without the user input for the inquiry period.

Thereafter, the user interface 400 may display an inquiry resultaccording to the inquiry period. In this case, the search history maydisplay information on the date and time when each topic is retrieved.Here, the user may select one or more topics from the inquired topics,and the user interface 200 may display the list of data fields of theKAFKA message loaded into the selected topic.

FIG. 5 is a diagram for describing an embodiment of displaying a historyfor a recently selected data field.

According to the example embodiment, a user interface 500 may provideinformation on or regarding a data field recently selected by a userwithin a predetermined time.

Referring to FIG. 5, a user may set a period of inquiry for a searchhistory. Meanwhile, it is also possible to provide the search historywithin the preset inquiry period without the user input for the inquiryperiod.

Thereafter, the user interface 500 may display a history of selecteddata fields according to the inquiry period. Referring to FIG. 5, theuser interface 500 may provide an area 510 in which four data fields(locationType, watcheruserID, workeruserID, and workerPhone) selectedfrom data fields of a KAFKA message (order_complete) are loaded into atopic retrieved on Dec. 20, 2020, and a user input for these four datafields may be received on the area 510. In this case, when the userselects the data field locationType, the user interface 200 may add thelocationType to the selected data field.

When the field value of the data field (locationType in FIG. 5) selectedin the user interface 500 of FIG. 5 does not exist in the KAFKA messageloaded into the topic retrieved in the user interface 200, the userinterface 200 may additionally display a message notifying that thefield value of the data field (locationType in FIG. 5) does not exist inthe KAFKA message loaded into the retrieved topic. In addition, inanother embodiment, the user interface 500 may lock a button so that theuser may not select the data field for the data field value that doesnot exist in the KAFKA message loaded into the topic retrieved in theuser interface 200 of FIG. 2 from the inquired data fields.

Meanwhile, the user interfaces 300 to 500 of FIGS. 3 to 5 may bedisplayed in a pop-up form of the user interface 200 of FIG. 2 and maybe displayed in one area of the user interface 200 of FIG. 2, but thedisplay method is not limited thereto.

FIG. 6 is a diagram for describing a first example embodiment ofproviding information on or regarding data loaded into a data lake.

According to the example embodiment, a user interface 600 may displaythe data loaded into the data lake in a table form.

Referring to FIG. 6, data including values of data fields (locationType,watcherUserID, workerUserID, workerName, and workerPhone) selected by auser may be loaded into the data lake. The data illustrated in FIG. 6may be generated by processing a read KAFKA message according to a readcycle selected by a user.

In addition, the user interface 600 may provide a function of exportingthe data loaded into the data lake in a form executable by anotherapplication. Referring to FIG. 6, the user interface 600 may display anExcel export button and extract the data loaded into the data lake as anExcel file based on a user input.

Meanwhile, although FIG. 6 illustrates an example of a function ofexporting data in an Excel file format, the export function is notlimited thereto, and it is obvious to a person skilled in the art thatthe export function may be a form executable in various applications.

FIG. 7 is a diagram for describing a second example embodiment ofproviding information regarding data loaded into a data lake.

According to the example embodiment, a user interface 700 may providethe data loaded into the data lake in a grid form.

Referring to FIG. 7, the user interface 700 may provide, in the gridform, data having the same data field locationType as camp_A among thedata loaded into the data lake. In this case, each piece of data may beidentified as a key value. In addition, each piece of data may beconnected to data having the same data field value. For example, datahaving a key value of ABF5 and data having a key value of ABC2 may bedata having the same value of the data field watcherUserID.

In this case, the data displayed in the grid form may be data generatedbased on the KAFKA message loaded into the same topic or data generatedbased on the KAFKA message loaded into different topics including thefield values of the same data field.

FIG. 8 is a diagram for describing a third example embodiment ofproviding information regarding data loaded into a data lake.

According to the example embodiment, a user interface 800 may providethe data loaded into the data lake in a graphic form.

For example, the method of the present disclosure may include generatingorder-related data by reading a KAFKA message loaded into anorder-related topic. In addition, the generated data may be loaded intothe data lake. In this case, the method of the present disclosure mayinclude graphing a ratio of an order time as illustrated in the userinterface 800 of FIG. 8 on the basis of the order time included in theorder-related data and provide the graphed ratio of the order time tothe user.

Meanwhile, the user interface 800 may display data in a different graphform other than the graph type illustrated in FIG. 8 according to datatypes, such as a bar graph or a line graph.

In addition, the user interfaces 600 to 800 of FIGS. 6 to 8 may bedisplayed in a pop-up form of the user interface 200 of FIG. 2 and maybe displayed in one area of the user interface 200 of FIG. 2, but thedisplay method is not limited thereto.

FIG. 9 is a flowchart for describing a method of loading data of adistributed messaging system according to an example embodiment.

In operation S910, the method of the present disclosure may check atopic corresponding to a search word among a plurality of topics inresponse to acquiring a search word for a topic of a distributedmessaging system from a user.

In operation S920, the method of the present disclosure may display alist of data fields of a message loaded into the checked topic.

In operation S930, the method of the present disclosure may check a dataloading format including one or more selected data fields based onselection information for one or more data fields acquired from the useramong data fields included in the lists of data field.

In operation S940, the method of the present disclosure may read themessage loaded into the checked topic.

Meanwhile, the method of the present disclosure may further include anoperation of receiving a selection signal for a read cycle from theuser. In this case, operation S940 may be an operation of automaticallyreading the message according to the read cycle after the selectionsignal for the read cycle is received.

In operation S950, the method of the present disclosure may load thedata for the read message into the data lake based on the checked datastructure.

Meanwhile, the method of the present disclosure may further include anoperation of displaying a check result of the topic corresponding to thesearch word.

In addition, the method of the present disclosure may further include anoperation of recommending one or more topics based on the search word,in addition to the check result of the topic corresponding to the searchword.

Meanwhile, the method of the present disclosure may further include anoperation of displaying the data loaded into the data lake in a tableform.

In addition, the method of the present disclosure may further include anoperation of displaying the data loaded into the data lake in at leastone of a grid form and a graphic form.

Meanwhile, the method of the present disclosure may further include anoperation of exporting the data loaded into the data lake in a formexecutable by another application.

In addition, the method of the present disclosure may further include anoperation of providing information on a data loading format recentlystored before a predetermined time.

In addition, the method of the present disclosure may further include anoperation of providing the information on the data recently loaded intothe data lake before the predetermined time.

In addition, the method of the present disclosure may further include anoperation of providing the information on the topic recently checkedbefore a predetermined time.

Meanwhile, the message may be published in response to receiving eventinformation and loaded on a corresponding topic.

In addition, the method of the present disclosure may further include anoperation of notifying that the message is published, and the messagemay be read after a subscriber who subscribes to the corresponding topicreceives the notification.

In this case, the method of the present disclosure may further includean operation of broad casting the information on the data generated fromthe read message.

FIG. 10 is a flowchart for describing a method of loading data of adistributed messaging system according to another example embodiment.

The method according to the example embodiment may broadcast a KAFKAmessage published by a message publisher to a subscriber.

Specifically, in operation S1010, when event information is received,the method of the present disclosure may publish a first KAFKA messageincluding a plurality of data field values.

In operation S1020, the method of the present disclosure may load thepublished first KAFKA message into a first topic corresponding to thefirst KAFKA message.

In operation S1030, in the method of the present disclosure, asubscriber who subscribes to the first topic may read the first KAFKAmessage from the first topic.

FIG. 11 is a block diagram of an electronic apparatus according to anexample embodiment.

An electronic apparatus 1100 may include a memory 1110 and a processor1120 according to the example embodiment. In the electronic apparatus1100 illustrated in FIG. 11, only components related to the presentembodiment are illustrated. Accordingly, it can be understood by thoseof ordinary skill in the art related to the present embodiment thatother general-purpose components may be further included in addition tothe components illustrated in FIG. 11.

The memory 1110 is hardware that stores various types of data processedin the electronic apparatus 1100. For example, the memory 1110 may storedata that has been processed and data that will be processed by theelectronic apparatus 1100. The memory 1110 may store at least oneinstruction for an operation of the processor 1120. In addition, thememory 1110 may store programs, applications, or the like to be drivenby the electronic apparatus 1100. The memory 1110 may include a randomaccess memory (RAM) such as a dynamic RAM (DRAM) or a static RAM (SRAM),a read-only memory (ROM), an electrically erasable programmable ROM(EEPROM), a compact disc (CD)-ROM, a Blu-ray or other optical discstorage, a hard disk drive (HDD), a solid state drive (SSD), or a flashmemory.

The processor 1120 may control the overall operation of the electronicapparatus 1100 and process data and signals. The processor 1120 maygenerally control the electronic apparatus 1100 by executing at leastone instruction or at least one program stored in the memory 1110. Theprocessor 1120 may be implemented by a central processing unit (CPU), agraphics processing unit (GPU), an application processor (AP), or thelike, but is not limited thereto.

The processor 1120 may check a topic corresponding to a search wordamong a plurality of topics in response to acquiring the search word forthe topic of the distributed messaging system from the user and displaya list of data fields of a message loaded into the checked topic. Inaddition, among the data fields included in the list of data fields, thedata loading format including one or more data fields selected based onthe selection information for one or more data fields acquired from theuser may be checked, the message loaded into the checked topic may beread, and the data for the read message based on the checked dataloading format may be loaded into the data lake. Specifically, the datamay include only a data field selected by a user from among the datafields of the read message.

Also, the processor 1120 may receive a selection signal for a read cyclefrom a user. In this case, the processor 1120 may read a message loadedinto a topic automatically retrieved according to the read cycle afterreceiving the selection signal for the read cycle.

Meanwhile, the processor 1120 may display the check result of the topiccorresponding to the search word.

In addition, the processor 1120 may recommend one or more topics basedon the search word in addition to the check result of the topiccorresponding to the search word.

Meanwhile, the processor 1120 may display the data loaded into the datalake in the table form.

Also, the processor 1120 may display the data loaded into the data lakein at least one of the grid form and the graphic form.

In addition, the processor 1120 may export the data loaded into the datalake in a form executable by another application.

Meanwhile, the processor 1120 may provide the information associatedwith the data loading format recently stored before a predeterminedtime.

In addition, the processor 1120 may provide the information associatedwith the data recently loaded into the data lake before a predeterminedtime.

In addition, the processor 1120 may provide the information associatedwith the topic recently checked before a predetermined time.

Here, the message may be published in response to receiving the eventinformation and loaded on the corresponding topic.

In addition, the processor 1120 may notify that the message has beenpublished. In this case, the message may be read after a subscriber whosubscribes to the corresponding topic receives the notification.

In this case, the processor 1120 may broadcast the informationassociated with the data generated from the read message. Here, thebroadcasted information may include the information associated with thedata field included in the data, and the user may check the data loadedinto the data lake through the broadcasted information.

The electronic apparatus or terminal according to the above-describedembodiments may include a processor, a memory that stores and executesprogram data, a permanent storage such as a disk drive, a communicationport that communicates with an external device, a touch panel, a key, auser interface device such as a button, and the like. Methodsimplemented as software modules or algorithms may be stored on acomputer-readable recording medium as computer-readable codes or programinstructions executable on the processor. Here, examples of thecomputer-readable recording medium may include magnetic storage media(for example, a ROM, a RAM, a floppy disk, a hard disk, etc.), opticalreading media (for example, a CD-ROM or a digital versatile disc (DVD)),and the like. The computer-readable recording medium may be distributedin computer systems connected to each other through a network, and as aresult, the computer-readable codes may be stored and executed in adistributed scheme. The medium may be readable by a computer, stored ina memory, and executed on a processor.

The present embodiment may be represented by functional blockconfigurations and various processing operations. These functionalblocks may be implemented by various numbers of hardware and/or softwarecomponents that execute specific functions. For example, the embodimentmay employ integrated circuit configurations, such as a memory,processing, logic, and a look-up table, capable of executing variousfunctions by control of one or more microprocessors or other controldevices. Similar to executing the components in software programming orsoftware elements, the present embodiment can be implemented inprogramming or scripting languages such as python, C, C++, Java, andassembler, including various algorithms implemented by a combination ofdata structures, processes, routines or other programmingconfigurations. Functional aspects may be implemented in algorithmsexecuted on one or more processors. In addition, the present embodimentmay employ a conventional technology for electronic environment setting,signal processing, and/or data processing, and the like. Terms such as“mechanism,” “element,” “means,” and “configuration” may be used broadlyand are not limited to mechanical and physical configurations. The termsmay include the meaning of a series of routines of software inconnection with a processor or the like.

The above-described embodiments are merely examples, and otherembodiments may be implemented within the scope of the following claims.

What is claimed is:
 1. A method of loading data of a distributedmessaging system by an electronic apparatus, the method comprising:obtaining, from a user computing device, a search word identifying asubset of the data of the distributed messaging system; identifying atopic, from a plurality of topics, corresponding to the search word inresponse to obtaining the search word; causing the user computing deviceto display data fields of a message loaded into the topic; obtaining,from the user computing device, information identifying a first subsetof the data fields of the message, each of the first subset of the datafields of the message corresponding to at least one respective fieldvalue in the message, wherein a second subset of the data fields of themessage do not correspond to any field values in the message, whereinthe second subset of the data fields of the message are configured to belocked from selection; identifying a data loading format associated withthe first subset of the data fields of the message; reading the messageloaded into the topic; and loading data comprising the first subset ofthe data fields of the message into a data lake based on the dataloading format, wherein the data loaded into the data lake is displayedas information in a grid form based on the first subset of the datafields of the message, and wherein the information in the grid formcomprises: first information associated with one or more field values ofone or more data fields of the first subset of the data fields, andsecond information identifying one or more portions of the data loadedinto the data lake including a same field value of the one or more fieldvalues.
 2. The method of claim 1, further comprising: receiving, fromthe user computing device, a selection signal indicative of a readcycle, wherein the reading of the message comprises automaticallyreading the message according to the read cycle after the selectionsignal indicative of the read cycle is received.
 3. The method of claim1, further comprising: displaying a check result of the topiccorresponding to the search word.
 4. The method of claim 1, furthercomprising: recommending one or more topics of the plurality of topicsbased on the search word and a check result of the topic correspondingto the search word.
 5. The method of claim 1, further comprising:exporting the data loaded into the data lake in a form executable byanother application.
 6. The method of claim 1, further comprising:providing information associated with a data loading format storedbefore a predetermined time.
 7. The method of claim 1, furthercomprising: providing information associated with data loaded into thedata lake before a predetermined time.
 8. The method of claim 1, furthercomprising: providing information associated with a topic identifiedbefore a predetermined time.
 9. The method of claim 1, wherein themessage loaded into the topic is published in response to receivingevent information and is loaded into the topic.
 10. The method of claim9, further comprising: providing a notification on a publication of themessage, wherein reading the message loaded into the topic comprisesreading the message after a subscriber who subscribes to the topicreceives the notification.
 11. The method of claim 1, furthercomprising: broadcasting information associated with data generated fromthe message.
 12. A non-transitory computer-readable recording medium onwhich a program allowing a computer to execute the method of claim 1 isrecorded.
 13. An electronic apparatus for loading data of a distributedmessaging system, the electronic apparatus comprising: a memorycomprising at least one instruction; and a processor configured toexecute the at least one instruction to: obtain, from a user computingdevice, a search word identifying a subset of the data of thedistributed messaging system; identify a topic, from a plurality oftopics, corresponding to the search word in response to obtaining thesearch word; cause the user computing device to display data fields of amessage loaded into the topic; obtain, from the user computing device,information identifying a first subset of the data fields of themessage, each of the first subset of the data fields of the messagecorresponding to at least one respective field value in the message,wherein a second subset of the data fields of the message do notcorrespond to any field values in the message, wherein the second subsetof the data fields of the message are configured to be locked fromselection; identify a data loading format associated with the firstsubset of the data fields of the message; read the message loaded intothe topic; and load data comprising the first subset of the data fieldsof the message into a data lake based on the data loading format,wherein the data loaded into the data lake is displayed as informationin a grid form based on the first subset of the data fields of themessage, and wherein the information in the grid form comprises: firstinformation associated with one or more field values of one or more datafields of the first subset of the data fields, and second informationidentifying one or more portions of the data loaded into the data lakeincluding a same field value of the one or more field values.